Django + Aurora + Mesos

acaversity.aurora.py

fetch = Process(
  name = 'fetch',
  cmdline = ('export AWS_ACCESS_KEY_ID=... '
             'export AWS_SECRET_ACCESS_KEY=... '
             'env '
             '; aws s3 cp s3://micktwomey-acaversity/slugs/acaversity-master-24.tar.gz slug.tar.gz '
             '&& tar -zxf slug.tar.gz'
            ),
)

setup = Process(
  name = 'setup.sh',
  cmdline = 'bash slug/scripts/setup.sh',
)

start = Process(
  name = 'start.sh',
  cmdline = 'bash slug/scripts/start.sh --http :{{thermos.ports[http]}} --http :{{thermos.ports[health]}}'
  # cmdline = 'bash slug/scripts/start.sh 0.0.0.0:{{thermos.ports[http]}}'
)

django_task = SequentialTask(
  processes = [fetch, setup, start],
  resources = Resources(cpu = 0.1, ram = 100*MB, disk=100*MB)
)

update_config = UpdateConfig(watch_secs=45, batch_size=2)
health_check_config = HealthCheckConfig(initial_interval_secs=15,
                                        interval_secs=10,
                                        expected_response='{"ok": true}')
announcer_config = Announcer()

jobs = [
  Service(cluster = 'devcluster',
          environment = 'devel',
          role = 'www-data',
          name = 'acaversity',
          instances = 4,
          task = django_task,
          update_config = update_config,
          health_check_config = health_check_config,
          announce = announcer_config,
          constraints = {
            'host': 'limit:10',
          }
          )
]